Pipeline

ProtRL is a framework where reinforcement learning algorithms are implemented to be easily applied to any biological language model, focusing on autoregressive pLMs like ZymCTRL. It uses algorithms like weighted directed preference optimization (wDPO) and group relative policy optimization (GRPO) to align the model's output to a desired distribution, which can be defined by various oracles such as structural similarity, stability, or experimental data.